Publication:
Energy saving monitoring using fuzzy logic for green ICT : a case study of IIUM computing lab

Date

2021

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Kuala Lumpur : Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, 2021

Subject LCSH

Electronic digital computers -- Energy conservation -- Malaysia
Fuzzy logic
Computational intelligence -- Environmental aspects
Green technology -- Malaysia

Subject ICSI

Call Number

t QA 76.5 T187E 2021

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Abstract

It is important to protect our pure natural world from ecological problems for the present and future generations. Green Information and Communication Technology (GICT) is an innovative approach of using ICT for environmental safety and sustainability of our future. GICT consists of practices and new software techniques to achieve educational, corporate and social responsibilities by reducing energy consumption, ICT wastages, and carbon footprints. The issue with energy monitoring in educational institution is to examine energy consumption in computing labs and develop a model for energy saving monitoring using Fuzzy Logic for GICT implementation in an Educational Institution. Additionally, the study analyzes the needs, requirements as well as Green ICT practices in computing labs at educational institutions. With rising figures of Higher Educational Institutions (HEI), Green ICT practices at institutions have ended up as key factors to attain cost-effective consequences and commercial social duties. The universities and colleges are getting more long-term approaches to ICT use in an efficient way. Green ICT has been a dynamic research area that contemplates the productive utilization of ICT equipment. The research was carried out following the experimental research methodology. This involved doing the energy audit to collect data from two computing labs. A model developed using Fuzzy Logic technique and implemented in a prototype coded in MATLAB software used the data sets collected to measure the energy consumption of the computers in the labs. The model was then evaluated energy monitoring in ICT computing lab. Survey and interviews were conducted for the collection of energy data. The findings show the energy monitoring model in terms of its applicability to monitor energy consumption.

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